Furtwangen im Schwarzwald, Germany
Furtwangen im Schwarzwald, Germany

The Hochschule Furtwangen University , formerly the Fachhochschule Furtwangen , is a German University of applied science in Furtwangen im Schwarzwald, Baden-Württemberg, Germany.The university dates back to a school for clock making founded in 1850 by Robert Gerwig. After World War II, the school was split into two branches, one for engineering, the other for job training. The first one became a Fachhochschule when this new kind of universities was introduced in the early 1970s. Wikipedia.


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Grant
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2011.1.4 | Award Amount: 14.11M | Year: 2012

Cloud and IT service providers should act as responsible stewards for the data of their customers and users. However the current absence of accountability frameworks for distributed IT services makes it difficult for users to understand, influence and determine how their service providers honour their obligations.\nA4Cloud will create solutions to support users in deciding and tracking how their data is used by cloud service providers. By combining methods of risk analysis, policy enforcement, monitoring and compliance auditing with tailored IT mechanisms for security, assurance and redress, A4Cloud aims to extend accountability across entire cloud service value chains, covering personal and business sensitive information in the cloud.\nA4Cloud solutions will support service providers in preventing breaches of trust by using audited policy enforcement techniques, assessing the potential impact of policy violations, detecting violations, managing incidents and obtaining redress.\nA4Cloud aims to improve the acceptability of cloud-based infrastructures where critical data is perceived to be at risk. It will develop techniques for improved trustworthiness of cloud ecosystems as prerequisite for accountability. Therefore it will create policies and tools that enforce responsibilities while striking a balance between transparency and privacy, and determine issues and constraints for regulators, corporate and institutional service providers, users, and their end-users.\nA4Cloud will have a lasting impact on the competitiveness of the European ICT sector by addressing major perceived barriers to trustworthy cloud-based services. These include concerns about complexity and enforceability of legal, regulatory and contractual provisions, socio-economic and corporate constraints, issues of trust for service-users such as risk-mitigation, privacy, confidentiality and transparency, and operational challenges such as interoperability and enforcing and monitoring compliance.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: GERI-2-2014 | Award Amount: 999.90K | Year: 2015

The impact of gender diversity on research productivity, quality and innovation is very unevenly evidenced. Incremental insights from gender studies, team science and research evaluation exercises do not transcend these separate areas and are therefore of restricted analytical value. This can be seen, for example, in the understanding of gender as simply concerned with the numerical representation of the two sexes in most quantitative analyses. This not only factors out the gendered hierarchies and social processes that condition science in general and work group dynamics in particular, but severely hampers systematic comparisons of research performance impacts. Using innovative methods for the analysis of the diversity-research productivity relationship, Gedii will develop a reliable diversity measure that is sensitive to power, status and information sharing differentials within teams and across public & private organisations. This Gender-Diversity-Index (GDI) will thus provide a much more nuanced and realistic measure of the impact of gender diversity on research productivity, quality and innovation across countries and sectors. GDI scores will be explored in relation to a flexible set of performance indicators, including patent and bibliometric measures, combined with new indicators of social impact. Gediis evaluation framework thus responds to the growing concern with responsible research and innovation. To address the social relevance and utility of our research, Gedii will engage stakeholders early and often: through advisory groups, virtual challenges, and theme-based innovation testimonials. By combining disparate conceptual approaches to gender diversity with an innovative assessment tool, Gedii will for the first time provide clear and comprehensive evidence for the link between gender diversity and research performance and enable research policy- and decision-makers to significantly enhance the capacity of European research.


Tawakoli T.,Furtwangen University of Applied Sciences | Azarhoushang B.,Furtwangen University of Applied Sciences
International Journal of Machine Tools and Manufacture | Year: 2011

Ceramic matrix composites (CMCs) are relatively new and promising materials for many high-technology engineering applications in harsh and severe environments due to their superior properties. Despite being mostly at the development phase, CMCs have some very successful applications in several high technology fields. However, in spite of all advantages, the employment of CMCs has been impeded by their high machining and finishing costs. Many recently developed CMCs are very difficult to machine with conventional machining technology, and improvement of the existing machining process is required and crucial. The main objectives for overcoming these technological constraints are reducing high grinding forces and tool wear, improving surface integrity and increasing material removal rate. To overcome the existing technological constraints in the grinding of CMCs, a specially designed segmented wheel has been developed. Reducing the static cutting edges via segmenting the wheel, which automatically leads to reduction of momentarily engaging cutting edges, results in a reduction of rubbing and plowing regimes. Consequently, the specific grinding energy decreases. Experimental results illustrate the high performance of the presented method. A significant reduction in normal and tangential grinding forces and an increase in G-ratio have been achieved. © 2010 Elsevier Ltd. All rights reserved.


Eng J.J.,University of British Columbia | Reime B.,Furtwangen University of Applied Sciences
Clinical Rehabilitation | Year: 2014

Objective: The objective was to conduct a systematic review and meta-analysis of studies that examined the effects of structured exercise on depressive symptoms in stroke patients. Methods: We searched for published randomized controlled trials that evaluated the effect of structured exercise programs (e.g. functional, resistance, or aerobic training) on depressive symptoms. The mean effect size, a 95% confidence interval (CI) and I-squared (I2>) for heterogeneity were estimated. Sensitivity analyses were conducted. Results: Thirteen studies (n = 1022) were included in the meta-analysis. Exercise resulted in less depressive symptoms immediately after the exercise program ended, standardized mean difference = -0.13 [95% CI = -0.26, -0.01], I2 = 6%, p = 0.03, but these effects were not retained with longer term follow-up. Exercise appeared to have a positive effect on depressive symptoms across both the subacute (≤6 months post stroke) and chronic stage of recovery (>6 months). There was a significant effect of exercise on depressive symptoms when higher intensity studies were pooled, but not for lower intensity exercise protocols. Antidepressant medication use was not documented in the majority of studies and thus, its potential confounding interaction with exercise could not be assessed. Conclusions: Exercise may be a potential treatment to prevent or reduce depressive symptoms in individuals with subacute and chronic stroke. © The Author(s) 2014.


Kruger M.,Furtwangen University of Applied Sciences
Proceedings of the 16th International Conference on Information Fusion, FUSION 2013 | Year: 2013

Classification selects one out of finitelymany classes based on available input and is applied to many kinds of application areas, e.g., diagnosis, monitoring, scoring, and pattern recognition. Often, classification is accomplished by use of Bayesian Networks which operate on evidence provided by sources, and calculate probabilities of classes as outcome. Sometimes, pieces of evidence from several sources provide substantially different but reliable information, indicating disparate classes. Such conflicting evidence has different reasons, e.g., measurement flaws, and can result in misclassification with severe consequences. Domain experts typically have a good intuitive understanding of evidence that should be judged as conflicting in given applications. Based on Bayesian Network literature, five measures for conflicting evidence are depicted and discussed. In an air defense scenario, these conflict measures are compared with domain experts' intuitive understanding of conflicts. Some aspects of configuration of such measures are discussed. Finally, coherence of different measures of conflicting evidence is surveyed in a second, maritime scenario. © 2013 ISIF ( Intl Society of Information Fusi.


Kovacs A.,Furtwangen University of Applied Sciences | Mescheder U.,Furtwangen University of Applied Sciences
Sensors and Actuators, B: Chemical | Year: 2012

Mechanisms such as diffusion, adsorption, desorption and capillary condensation of gases or fluidics in porous materials play an important role when using these materials for sensing or filtration. Transport processes were investigated in freestanding porous silicon (PS) membranes for liquids and gases. Transport models in nanostructured PS membranes are analyzed considering several types of transport mechanisms for different liquids and gases. As a new analytical approach, transport of liquids (organic and aqueous solutions) and vapors was studied optically in PS optical multilayers. Adsorption in the meso- and microporous materials occurs rather fast (typical adsorption time of 5 s). Natural desorption time at ambient conditions depends on the vapor pressure of the investigated adsorbates and can be reduced using heating or purging. Adsorption and desorption isotherms are measured to investigate interactions between sample surface and adsorbate as a function of surface treatment and to evaluate specific surface area and pore size distribution of porous material. © 2012 Elsevier B.V. All rights reserved.


Patent
Furtwangen University of Applied Sciences | Date: 2014-12-24

The present invention relates to a process of producing a porous layer structure on a heterogeneous polycrystalline substrate, comprising the following steps:(i) providing a heterogeneous polycrystalline substrate having at least two regions with different chemical-physical properties,(ii) conducting a selective etching process on said polycrystalline substrate, resulting in etched regions corresponding to one of the at least two regions of said substrate and non-etched regions corresponding to the other one of said at least two regions of said substrate,(iii) covering the entire surface of the substrate with an insulating material, thus creating an insulating layer on said substrate,(iv) polishing the surface of the substrate to such an extent that the non-etched regions of step (ii) are exposed,(v) depositing microstructures on said non-etched regions and stopping the deposition before the growth of the microstructures starts narrowing their cavities formed between adjacently growing microstructures,(vi) optionally washing the entire substrate having the microstructures deposited thereon with a solvent for removing the insulating material, and(vii) repeating successively above steps (iii), (iv), (v) and (vi) in a loop process till a desired height of the microstructures is reached, where at least in the final loop the washing step (vi) is carried out.


Patent
Deutsche Thomson Ohg and Furtwangen University of Applied Sciences | Date: 2011-07-20

The present invention relates to a method (500) for processing image data. The method includes dividing (506) each of a first plurality of images corresponding to a plurality of overlapping color value ranges into a first plurality of components of contiguous pixels. Each of a second plurality of images corresponding to the plurality of overlapping color value ranges are divided (522) into a second plurality of components of contiguous pixels. A plurality of motion vectors are identified (526) that generate a smallest distance between the first plurality of components and the second plurality of components, wherein the distance comprises a difference in color values.


Patent
Furtwangen University of Applied Sciences | Date: 2014-12-24

The present invention relates to a process of producing a porous layer structure on a heterogeneous polycrystalline substrate, comprising the following steps:(i) providing a heterogeneous polycrystalline substrate having at least two regions with different chemical-physical properties,(ii) conducting a selective etching process on said polycrystalline substrate, resulting in etched regions corresponding to one of the at least two regions of said substrate and non-etched regions corresponding to the other one of said at least two regions of said substrate,(iii) covering the entire surface of the substrate with an insulating material, thus creating an insulating layer on said substrate,(iv) polishing the surface of the substrate to such an extent that the non-etched regions of step (ii) are exposed,(v) depositing microstructures on said non-etched regions till the growth of the microstructures starts narrowing their cavities formed between adjacently growing microstructures and, thus sealing the openings of said cavities, and(vi) repeating successively above steps (iii), (iv) and (v) in a loop process till a desired height of the microstructures is reached, thereby obtaining a porous layer structure on said heterogeneous polycrystalline substrate.


Grant
Agency: European Commission | Branch: FP7 | Program: MC-IRSES | Phase: FP7-PEOPLE-2012-IRSES | Award Amount: 252.00K | Year: 2013

Background: Healthcare systems worldwide are increasingly unable to meet growing demand for and cost of healthcare. Changing demographics leading to increasing demand for services of increasing cost exacerbate this problem. Thus,healthcare costs are an increasingly unaffordable share of economically constrained national budgets. More specifically, an average 10% of healthcare costs are for acute and intensive care, which equates ~1% of GDP in many EU countries a significant share. Highly trained doctors and nurses are the scarce and costly resource in critical and acute care. Thus,improving care and productivity in intensive and acute care units by merging engineering, technology and medicine presents a significant research and economic opportunity and challenge. The Specific Problem: While acute and critical care doctors have a range of technology and sensors at their disposal, their ability to rapidly provide the more consistent, patient-specific care required to improve productivity and patient outcomes is limited. In particular, they are unable to take full advantage of the wealth of data they are presented to best utilise the pumps,ventilators and other technologies used to provide care. The Solution: The application of clinically validated computer models of patient physiology that can be made patient-specific using data at their bedside can integrate this patient data into a clear physiological picture of patient-specific condition and response to treatment, as well as help guide therapy. These computer models can be combined with automation technology to improve both the productivity and quality of care, alleviating demand on scarce and costly personnel. Proposed Answer: Model-based Therapeutics (MBT) is an emerging field combining computer models of human physiology, clinical data and automation of care to create innovative solutions to major clinical problems. This project will create an international MBT consortium centered on 3 major core projects.

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